Unit 0: Psychology Research Methods: Quick Reference Notes (Qualitative/Quantitative, Case Studies, Sampling, Reliability, Validity, Bias)

Qualitative vs Quantitative Research

  • Qualitative: descriptive, focuses on feelings, observations, and descriptions; typically non-numeric.
  • Quantitative: uses numerical data; can be analyzed statistically; converts some qualitative data to quantitative via operational definitions.
  • Operational definition: method to turn a qualitative concept into a measurable quantity, e.g., happiness on a scale from 11 to 1010; example in class: happiness rated on a scale to quantify mood.
  • Example from transcript: qualitative observation about feelings; then added a numeric value on a scale to create quantitative data.

Case Study

  • Case study: descriptive observation technique using interviews; can have two meanings: (1) published research documenting a case, (2) a student-written case study report.
  • Phineas Gage: railroad worker, suffered frontal lobe injury; personality change after injury; case study used to illustrate frontal lobe functions and personality changes.
  • Frontal lobe: front of brain; involved in decision making and personality; injuries here can alter behavior.
  • Ethics in case studies: maintain anonymity; do not reveal identifying information; present information responsibly.

Observation to Written Report

  • Start from observations (descriptive notes) and convert into a short essay (about one page).
  • Bottom-part task: summarize observations coherently, noting general characteristics and abnormal features when present.
  • Two key modes of writing in class: case study write-ups (book-report style) vs. actual experiments; distinguish whether the activity is observation-based or an experiment.

Hypothesis and Experiment Structure

  • Two main elements: If-Then statements (hypotheses) and present-out statements (predictions or conclusions stated in present tense).
  • Focus on experiments and correlation analyses in class; many assignments come with existing hypotheses in published case studies, while you write a short report.
  • Purpose of hypothesis: guides the experiment; understanding of how observations lead to testable predictions.

Population, Sampling, and Representativeness

  • Population: the entire group you want to study.
  • Sample: a subset of the population actually studied.
  • Representative sample: a sample that reflects the characteristics of the population (e.g., mix of genders, ages, ethnicities).
  • Random sample: selection without bias; helps reduce sampling bias.
  • Example considerations: age range (e.g., 141814-18), whether the sample represents all groups in the population; freshman exclusion can make a sample non-representative.

Reliability, Validity, and Bias

  • Reliability (repeatability): ability to obtain the same results when the study is repeated with the same methods.
  • Validity: whether the test actually measures what it intends to measure; a valid test assesses the intended content or construct.
  • Practical examples: an AP psychology test is considered valid for AP psychology if it measures AP psychology content; a generic physics test for AP US History would be invalid for AP psychology.
  • Bias in research: researchers’ expectations can influence results (e.g., hindsight bias, overconfidence); avoid allowing expectations to color interpretations.
  • Hindsight bias: after outcomes are known, people think they could have predicted them (hindsight is 20/2020/20).

Ethics in Research and Reporting

  • Anonymity and privacy: protect identities of participants; use general descriptions (e.g., “the subject” or “the participant”) rather than names.
  • Privacy and confidentiality: avoid disclosing identifying information; ensure ethical handling of data.
  • Ethical distinctions between case studies and experiments: both require careful, ethical reporting and protection of participant information.

Quick Reference Concepts from the Session

  • Descriptive vs descriptive-qualitative data; qualitative data can be turned into quantitative data via an operational definition.
  • Case study involves interviews and notes compiled into a readable form; reliability and ethics matter.
  • Population vs sample; representative sample vs random sample; bias reduction through randomization.
  • Reliability, validity, and bias: essential checks for any research design; aim for high validity and reliable replication.
  • Hypothesis development: If-Then statements; predictive statements in present-tense form;
  • Phineas Gage as a historical case illustrating brain-behavior links and frontal lobe functions.
  • Ethical reporting practices and the importance of anonymity in written work.